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Paper Citation Record · LEDGER

GFS: Graph-based Feature Synthesis for Prediction over Relational Databases

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.02037.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.02037 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:54:08.880847Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T01:59:38.573013Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3cefa20c-33ce-4044-a5bf-8697643acc43 · inbound

Transformers Meet Relational Databases cites this paper.

Transformers Meet Relational Databases GFS: Graph-based Feature Synthesis for Prediction over Relational Databases

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:08.880847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:54:08.880847Z digest=sha256:930540610fb12cb3629b86a9a09112db9eeec40becce84df1ecf286fad83f3c4

Observation 6267dc01-95a1-46ec-88a3-550873055954 · inbound

From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs cites this paper.

From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs GFS: Graph-based Feature Synthesis for Prediction over Relational Databases

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:43.605507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:43.605507Z digest=sha256:df2d8ce6ba5f73711866dfd5318470512ffb324bc6a6c1ee066cb3b90efdd075

Observation f6f6832a-0193-4c52-9574-9c70d829568d · inbound

No Need to Train Your RDB Foundation Model cites this paper.

No Need to Train Your RDB Foundation Model GFS: Graph-based Feature Synthesis for Prediction over Relational Databases

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T23:33:32.925139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:33:32.925139Z digest=sha256:b207147a234f5ff1fde49ae40315bec96b5e7c829505420bb3d699f46d9a63be

Observation f3bd7019-1cad-436e-a7e9-2c3517851d0e · inbound

From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics cites this paper.

From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics GFS: Graph-based Feature Synthesis for Prediction over Relational Databases

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:59:38.576050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T01:59:36.391925Z digest=sha256:7cc50e9db6ecd49fb3021261a26bf3bd0cd0791a7722cd73e9b699c77ec13af3

Observation ec0430f9-b750-4d60-8556-2338f2f56299 · inbound

Parameter-Free Encoders Remain Viable for RDB Foundation Models cites this paper.

Parameter-Free Encoders Remain Viable for RDB Foundation Models GFS: Graph-based Feature Synthesis for Prediction over Relational Databases

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-11T11:47:14.742492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:47:14.742492Z digest=sha256:46cf065b5a13043c5b90b0553787025dc69de1509953df9604c860fbc4b24542

Observation 50dd5625-6b1f-4858-aad4-934cf73a40db · inbound

Parameter-Free Encoders Remain Viable for RDB Foundation Models cites this paper.

Parameter-Free Encoders Remain Viable for RDB Foundation Models GFS: Graph-based Feature Synthesis for Prediction over Relational Databases

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T08:36:04.690347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:36:04.690347Z digest=sha256:b6f2476ebb52a7be2ca553200b70257666947bcacd84146f4599844f76cb8f84